Triple
T25007078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White Road |
E625870
|
entity |
| Predicate | authorOfWorkType |
P159060
|
FINISHED |
| Object | fantasy author |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: fantasy author | Statement: [The White Road, authorOfWorkType, fantasy author]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfWorkType Context triple: [The White Road, authorOfWorkType, fantasy author]
-
A.
authorType
Indicates the specific role or category of authorship associated with an entity, such as primary author, co-author, or editor.
-
B.
authorOfWorkAbout
Indicates that one entity is the author or creator of a work whose subject or content is about another entity.
-
C.
genreOfWorkHeWrites
Indicates that a person is an author who writes works belonging to a particular genre.
-
D.
authorWorkCreator
Indicates that an entity is the creator (author) responsible for producing a particular work.
-
E.
authorGenre
Indicates the relationship between an author and the literary genre(s) in which they write or are associated with.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 18, 2026, 6:05 a.m.